Travel behaviour models serve as important tools to understand what factors affect trip
generation and preferred mode of travel in different contexts. These models can be used to …

Trip generation is the first stage of the conventional'four-stage'transport model. The aim of
this stage is to predict total number of trips generated to and from each zone. The two most …

The majority of US metropolitan regions still use the four‐step urban transportation modeling
system to develop their travel forecasts. Trip generation, the first step of this system, has as …

Improvements in infrastructure capacity and travel conditions including the introduction of a
new transport mode can induce changes in traffic. Although this can occur through a variety …

This paper examines the endogenous relationship between residential level of accessibility
and household trip frequencies to tease out the direct and indirect effects of observed …

Transferability is critical to assessing the validity of behavior models. It measures how well a
model developed in a specific temporal, spatial, transportation and institutional context can …

To assess the impact of any proposed development, it is necessary to estimate the trips that
are likely to be generated because of such development. In case of developing countries …

In this paper, we present a systematic approach based on dynamic discrete choice models
(DDCM) to investigate individuals' forward-looking mode choice behaviours in daily travel …

This paper focuses on modeling transportation mode choice for commuting to work and
school. The study employs a Multinomial Logit (MNL) model to examine how individuals …

The aim of this work is to explore the impact of regional transit service on tour-based
commuter travel behavior by using the Bayesian hierarchical multinomial logit model …